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Communications in Statistics - Theory and Methods Volume 36, 2007 - Issue 15
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DISTRIBUTIONS, MODELS AND APPLICATIONS

Comparison of Generalized Lambda Distribution (GLD) and Response Modeling Methodology (RMM) as General Platforms for Distribution Fitting

Haim Shore Department of Industrial Engineering, Ben-Gurion University of the Negev, Beer-Sheva, IsraelCorrespondence[email protected]
Pages 2805-2819 | Received 30 Jun 2006, Accepted 05 Jan 2007, Published online: 06 Nov 2007

Citations (6)

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Read on this site (2)

Haim Shore. (2015) A General Model of Random Variation. Communications in Statistics - Theory and Methods 44:9, pages 1819-1841.
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Haim Shore & Fatina A'wad. (2010) Statistical Comparison of the Goodness of Fit Delivered by Five Families of Distributions Used in Distribution Fitting. Communications in Statistics - Theory and Methods 39:10, pages 1707-1728.
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Articles from other publishers (4)

Haim Shore. (2012) Estimating Response Modeling Methodology models. Wiley Interdisciplinary Reviews: Computational Statistics 4:3, pages 323-333.
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Haim Shore. (2011) Response modeling methodology. WIREs Computational Statistics 3:4, pages 357-372.
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Michal Shauly & Yisrael Parmet. (2011) Comparison of Pearson distribution system and response modeling methodology (RMM) as models for process capability analysis of skewed data. Quality and Reliability Engineering International 27:5, pages 681-687.
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Haim Shore. (2007) Comparison of linear predictors obtained by data transformation, generalized linear models (GLM) and response modeling methodology (RMM). Quality and Reliability Engineering International 24:4, pages 389-399.
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